Data Engineer – Data Infrastructure & eDiscovery-6387

Role overview Build and operate data infrastructure for legal and eDiscovery work, developing pipelines, warehouse systems, and monitoring that can handle large enterprise datasets reliably and securely. The role leads technical initiatives from requirements through delivery and works closely with both engineering teams and non-technical partners, including legal professionals and data scientists.

Responsibilities - Design, develop, and optimize ETL pipelines for large-scale data extraction, transformation, and processing. - Build and improve data warehouses to support efficient querying across large datasets. - Create monitoring and alerting systems that identify pipeline and infrastructure issues early. - Write and tune advanced SQL queries against relational databases. - Work with legal, data science, and engineering partners to clarify requirements, identify data sources, and deliver dependable solutions. - Lead cross-functional projects, including planning, stakeholder coordination, technical documentation, and implementation; identify useful automation while protecting privacy and security.

Requirements - At least 3 years of professional data engineering experience. - Strong proficiency in Python and SQL, including experience with databases such as Presto, PostgreSQL, or MySQL. - Deep experience building, managing, and optimizing ETL and data pipelines, with workflow orchestration tools such as Apache Airflow or equivalents. - Track record of leading end-to-end engineering initiatives with cross-functional technical and non-technical teams. - Strong written and verbal communication, including the ability to explain technical topics clearly. - Able to work through ambiguity and drive projects independently; a relevant bachelor’s degree or equivalent work experience is required.

Nice to have Experience with AI-enabled workflow automation, regulated fields, legal technology, eDiscovery, privacy, compliance, or data loss prevention can be useful. Mentoring engineers and working in smaller, adaptable organizations are also valued.

Benefits and work setup This is a six-month remote contract based in California; candidates should be willing to work onsite occasionally in San Francisco, with Bay Area applicants preferred. The source specifies direct W-2 engagement and no visa sponsorship. Benefits listed include medical coverage, a 401(k), paid holidays, and professional development.